Bernd Girod, 3 units, Spring Quarter 2007/2008, MWF 9:00-9:50 am, Location: Gates B01.
Visual information plays an important role in almost all areas of our life. Today, much of this information is represented and processed digitally. Digital image processing is ubiquitous, with applications ranging from television to tomography, from photography to printing, from robotics to remote sensing.
EE368 is a graduate-level introductory course to the fundamentals of digital image processing. It emphasizes general principles of image processing, rather than specific applications. We expect to cover topics such as image acquisition and display, properties of the human visual system, color representations, sampling and quantization, point operations, linear image filtering and correlation, transforms and subband decompositions, and nonlinear filtering, contrast and color enhancement, dithering, and image restoration, image registration, and simple feature extraction and recognition tasks.
Expect EE368 to be offered each year. Note that we will NOT cover compression in EE368. Image and Video Compression will be discussed in EE 398A/B.
Lectures will be complemented by computer exercises where students develop their own image processing algorithms.
Instructor: Bernd Girod
Office: Packard 373
Phone: 723-4539
Email: ee368-spr0708-staff@lists.stanford.edu
Office Hours: Friday 1:30-3:00 pm, Packard 373
Course Assistant: Kelly Yilmaz
Office: Packard 259
Phone: 723-4539
Email: yilmaz@stanford.edu
Teaching Assistant:
Email: ee368-spr0708-staff@lists.stanford.edu
Office Hours: Wednesday 5:00-7:00 pm, Packard 104
All emails should be sent to ee368-spr0708-staff@lists.stanford.edu and you'll get a quick response during the email hours.
EE261, EE278 or equivalent
o Homework: 20%
o Midterm: 30%
o Term project: 50%
We reserve the right to change the above grading scheme.
Homeworks should be done individually, but discussions among students are encouraged. We anticipate one homework assignment per week (total of 4-5, handed out on Fridays, due one week later), until midterm. After that, students should concentrate on the term project, which can be done individually or in groups and should require about 50 hours per person in total.
The class home page (http://www.stanford.edu/class/ee368) contains all the course information, including lecture slides, assignments, and latest announcements. If you have any questions, you might find the answers on the home page. Otherwise, please direct generic questions about the course to the TAs or Ms. Kelly Yilmaz. Contact Prof. Girod or the TAs if you have questions about homeworks and projects.
The class email list is ee368-spr0708-students@lists.stanford.edu. You will automatically be in the mailing list once you enroll in the class.
The lecture notes and the problem sets and occasionally other material will be made available in Adobe Portable Document Format (pdf) form. These can be read on virtually any platform using the free Adobe Acrobat Reader software, available from the acrobat Web site.
Spare copies of handouts will be placed in the class drawer (2nd floor, Packard) near the kitchen-area. Homeworks can be dropped off into (or picked up from) the drawer as well.
We recommend that you use the Stanford Center for Image Systems Engineering (SCIEN) Lab to do all your work in this class, although you can choose to stay with the leland account or your own machine, with the only requirement that a copy of all your project files should be on SCIEN at the time of submission.
We will create a SCIEN account for you in the first few weeks of class. Please watch out for our announcements regarding this issue.
(Note that the SCIEN lab was previously referred to as the ISE lab.)
Last modified:
05/04/2008